SEO Optimization Word Segmentation technology

In Word segmentation, there is a commonly used index method called TF-IDF (term frequency–inverse document frequency), which is a commonly used weighting technique for information search and information mining. of which TF frequency (term frequency Refers to the number of times a given word appears in the file, and the main idea of the IDF is the anti-document frequency (Inverse document Frequency): If fewer documents contain entries, the larger the IDF, the better category-distinguishing ability of the entries. Using TF*IDF, you can calculate the importance of a keyword in an article, and thus identify the main meaning of this article, and realize the function of the computer to read the article. This technique is straightforward and uses these metrics to determine how important a word in a piece of information is. In search engines, these metrics are used to rank the information you are looking for. We as seoer, in turn, can be learned that if we can have a certain understanding of the word segmentation technology, in the setting of keywords, descriptions, articles, labels, you can combine the common people's search habits, word weight, and then scientifically organize these keywords, or description and so on. To achieve your layout of these words is precisely the industry's search engine concerns, friends use most of the search keywords. In this way, your settings will play the most effective!

Word segmentation technology is generally through a number of words, the use of ordinary people's habits, the passage of a distinction, and then understand. There are a lot of words that people get used to, such as China, eating, and hospitals. There may also be some new words that have not been seen before, but which have emerged in the development of society, these words are used more and more, such as the development of it has emerged a large number of well-known enterprises: such as Microsoft, Sina, and so on, these are not a word in the traditional vocabulary, but in the development of these have become a common use of vocabulary, will also be included in the word segmentation system. In a word, participle is an analytic means of people's life idioms.

Website to get a good ranking, so on the network search for a variety of different SEO technology. Although there are a variety of SEO technology on the web, but these technologies can be said to be various, there is not a standard, and even often see a variety of views are relative, and sometimes more is a public said that the rational, the woman said that the rational, make a lot of us webmaster do not know what to listen to, had to put their station as a mouse to do the experiment, The most often do not outweigh the gains! In fact, we do SEO best to understand some basic knowledge, these are like the cornerstone of a building, you see only high-rise, but no cornerstone, high-rise is not stable ~! today we will talk about search engine ranking one of the cornerstone: participle technology.

I believe most stationmaster have heard a kind of technique, some also have quite understanding. In fact, the word segmentation technology is not advanced, although some of the operation of the image, but he should be better understood. Participle is to cut a string of character sequences into a single word. Word segmentation, including English participle, Chinese participle, and so on, we mainly speak of Chinese participle (Chinese Word segmentation). Chinese word segmentation is widely used, especially in search engines, the main purpose of which is to make text mining for a piece of text, so that the computer automatically recognize the meaning of the statement. So we are not difficult to understand why we in Baidu, Google these search engines to enter some text, they can provide a similar number of results let us refer to the choice. In fact, these engines can be too much word technology to the information you lose the word, to achieve "understanding" the information you want the "true meaning." Although sometimes the computer results are not what you want, but this is unavoidable, sometimes may be your expression is wrong, sometimes it may be the search engine participle is not perfect